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<!DOCTYPE html> |
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<html> |
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<head> |
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<meta charset="utf-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1"> |
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<title>Bayesian Statistics</title> |
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"> |
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<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Lora"> |
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<style> |
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body { |
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font-family: 'Lora', serif; |
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} |
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path.line { |
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fill: none; |
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stroke: #666; |
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stroke-width: 1.5px; |
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} |
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path.area { |
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fill: #e7e7e7; |
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} |
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.axis { |
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shape-rendering: crispEdges; |
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} |
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.x.axis line { |
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stroke: #fff; |
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} |
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.x.axis .minor { |
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stroke-opacity: .5; |
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} |
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.x.axis path { |
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display: none; |
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} |
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.y.axis line, |
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.y.axis path { |
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fill: none; |
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stroke: #000; |
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} |
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.guideline { |
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margin-right: 100px; |
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float: right; |
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} |
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</style> |
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<!-- D3 --> |
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<script charset="utf-8" src="https://d3js.org/d3.v3.min.js" type="text/javascript"></script> |
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<!-- D3 Queue --> |
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<script charset="utf-8" src="https://d3js.org/d3-queue.v3.min.js" type="text/javascript"></script> |
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</head> |
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<body> |
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<div class="container"> |
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<div class="row"> |
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<div class="col-xs-12 col-md-12"> |
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<div id="title" class="page-header"> |
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<h2>Bayesian Statistics <small>Simulating the Monty Hall Problem with Python</small></h2> |
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</div> |
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</div> |
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</div> |
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<div class="row"> |
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<div class="col-xs-12 col-md-12"> |
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<div class="form-check"> |
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<label class="form-check-label"> |
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<input class="form-check-input" type="checkbox" value="" id="show_guideline"> |
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Show Guideline & Curtain |
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</label> |
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</div> |
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</div> |
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</div> |
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<div class="row"> |
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<div class="col-xs-12 col-md-12"> |
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<svg></svg> |
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</div> |
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</div> |
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</div> |
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<script defer type="text/javascript"> |
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"use strict"; |
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var margin = { |
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top: 80, |
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right: 80, |
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bottom: 80, |
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left: 80 |
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}, |
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width = 1200 - margin.left - margin.right, |
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height = 500 - margin.top - margin.bottom; |
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// Scales and axes. Note the inverted domain for the y-scale: bigger is up! |
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var x = d3.scale.linear().range([0, width]), |
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y = d3.scale.linear().range([height, 0]), |
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xAxis = d3.svg.axis().scale(x).tickSize(-height).tickSubdivide(true), |
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yAxis = d3.svg.axis().scale(y).ticks(4).orient("right"); |
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// An area generator, for the light fill. |
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var area = d3.svg.area() |
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.interpolate("monotone") |
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.x(function(d) { |
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return x(d.id); |
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}) |
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.y0(height) |
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.y1(function(d) { |
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return y(d.value); |
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}); |
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// A line generator, for the dark stroke. |
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var line = d3.svg.line() |
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.interpolate("monotone") |
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.x(function(d) { |
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return x(d.id); |
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}) |
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.y(function(d) { |
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return y(d.value); |
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}); |
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// get the data |
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function getData() { |
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var endpointUrl = 'https://gist.githubusercontent.com/tonmcg/d83cb1dee8602e8292a73f40fa01471c/raw/c3bd8a8c333a1cea787337085bb78f01f782eca9/simulations.csv'; |
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// using d3 Queue to simplify the use of deferreds while awaiting data to load from external sources |
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d3.queue() |
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.defer(d3.csv, endpointUrl) |
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.await(createViz); |
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} |
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// create visualization |
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function createViz(error,data) { |
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var switchValues = data.map(function(g) { |
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return { |
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id: +g[''], |
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name: 'switch', |
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value: +g['switch doors'] |
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}; |
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}); |
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var stayValues = data.map(function(g) { |
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return { |
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id: +g[''], |
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name: 'stay', |
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value: +g['do not switch doors'] |
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}; |
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}); |
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var values = d3.merge([switchValues, stayValues]); |
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// Compute the minimum and maximum date, and the maximum price. |
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x.domain(d3.extent(values, function(d) { |
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return d.id; |
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})); |
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y.domain(d3.extent(values, function(d) { |
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return d.value; |
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})).nice(); |
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// Add an SVG element with the desired dimensions and margin. |
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var svg = d3.select("svg") |
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.attr("width", width + margin.left + margin.right) |
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.attr("height", height + margin.top + margin.bottom) |
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.append("g") |
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.attr("transform", "translate(" + margin.left + "," + margin.top + ")") |
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// Add the clip path. |
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svg.append("clipPath") |
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.attr("id", "clip") |
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.append("rect") |
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.attr("width", width) |
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.attr("height", height); |
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// Add the x-axis. |
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svg.append("g") |
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.attr("class", "x axis") |
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.attr("transform", "translate(0," + height + ")") |
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.call(xAxis); |
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// Add the y-axis. |
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svg.append("g") |
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.attr("class", "y axis") |
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.attr("transform", "translate(" + width + ",0)") |
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.call(yAxis); |
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var colors = d3.scale.category10(); |
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svg.selectAll('.line') |
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.data([switchValues,stayValues]) |
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.enter() |
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.append('path') |
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.attr('class', 'line') |
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.style('stroke', function(d) { |
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return colors(Math.random() * 50); |
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}) |
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.attr('clip-path', 'url(#clip)') |
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.attr('d', function(d) { |
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return line(d); |
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}); |
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/* Add 'curtain' rectangle to hide entire graph */ |
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var curtain = svg.append('rect') |
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.attr('x', -1 * width) |
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.attr('y', -1 * height) |
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.attr('height', height) |
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.attr('width', width) |
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.attr('class', 'curtain') |
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.attr('transform', 'rotate(180)') |
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.style('fill', '#ffffff'); |
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/* Optionally add a guideline */ |
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var guideline = svg.append('line') |
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.attr('stroke', '#333') |
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.attr('stroke-width', 0) |
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.attr('class', 'guide') |
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.attr('x1', 1) |
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.attr('y1', 1) |
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.attr('x2', 1) |
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.attr('y2', height); |
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/* Create a shared transition for anything we're animating */ |
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var t = svg.transition() |
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.delay(750) |
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.duration(6000) |
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.ease('linear') |
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.each('end', function() { |
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d3.select('line.guide') |
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.transition() |
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.style('opacity', 0) |
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.remove(); |
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}); |
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t.select('rect.curtain') |
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.attr('width', 0); |
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t.select('line.guide') |
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.attr('transform', 'translate(' + width + ', 0)'); |
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d3.select("#show_guideline").on("change", function(e) { |
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guideline.attr('stroke-width', this.checked ? 1 : 0); |
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curtain.attr("opacity", this.checked ? 0.75 : 1); |
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}); |
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} |
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getData(); |
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</script> |
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</body> |
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</html> |
